To quantify the performance of a change point detection result, we calculate the Adjusted Rand Index(ARI) ([1]}) between the recovered segments and the true segments. Rand Index(RI) ([2]}) was originally used to measure the similarity between two data clustering results. As a corrected version of RI, ARI was designed to adjust for the chance of grouping elements. An ARI value of 1 corresponds to a perfect result, while negative or 0 values imply that the recovered segments are different from the underlying segments.
